Genome-wide screen for promoter methylation in NSCLC identifies novel methylation markers for multiple malignancies

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PubMed ID: 17194187
Contact: David S Shames

Image:email_GSE6695.png
UT Southwestern

Species: Homo sapiens
Platform: Affymetrix GeneChip Human Genome U133 Plus 2.0 Array
Number of Samples: 7
Date Range: 01/09/2004 - 08/10/2004
Experiment Quality: 94.91
6.11 %
Link to Repository: GSE6695
Original Intensity Data: Download
Clean Intensity Data: Download
Original PLIER Data: Download
Clean PLIER Data: Download
Clean CEL Files:
Data Rank:

BACKGROUND: Promoter hypermethylation coupled with loss of heterozygosity at the same locus results in loss of gene function in many tumor cells. The "rules" governing which genes are methylated during the pathogenesis of individual cancers, how specific methylation profiles are initially established, or what determines tumor type-specific methylation are unknown. However, DNA methylation markers that are highly specific and sensitive for common tumors would be useful for the early detection of cancer, and those required for the malignant phenotype would identify pathways important as therapeutic targets. METHODS AND FINDINGS: In an effort to identify new cancer-specific methylation markers, we employed a high-throughput global expression profiling approach in lung cancer cells. We identified 132 genes that have 5' CpG islands, are induced from undetectable levels by 5-aza-2'-deoxycytidine in multiple non-small cell lung cancer cell lines, and are expressed in immortalized human bronchial epithelial cells. As expected, these genes were also expressed in normal lung, but often not in companion primary lung cancers. Methylation analysis of a subset (45/132) of these promoter regions in primary lung cancer (n = 20) and adjacent nonmalignant tissue (n = 20) showed that 31 genes had acquired methylation in the tumors, but did not show methylation in normal lung or peripheral blood cells. We studied the eight most frequently and specifically methylated genes from our lung cancer dataset in breast cancer (n = 37), colon cancer (n = 24), and prostate cancer (n = 24) along with counterpart nonmalignant tissues. We found that seven loci were frequently methylated in both breast and lung cancers, with four showing extensive methylation in all four epithelial tumors. CONCLUSIONS: By using a systematic biological screen we identified multiple genes that are methylated with high penetrance in primary lung, breast, colon, and prostate cancers. The cross-tumor methylation pattern we observed for these novel markers suggests that we have identified a partial promoter hypermethylation signature for these common malignancies. These data suggest that while tumors in different tissues vary substantially with respect to gene expression, there may be commonalities in their promoter methylation profiles that represent targets for early detection screening or therapeutic intervention.

Design: We compared the gene expression changes HBEC and NSCLC cells before and after treatment with 5-aza-2'deoxycytidine.

Type: Dose response, cell-type comparison,


Contents

[edit] Contributors

  • David S Shames
  • Luc Girard
  • Boning Gao
  • Mitsuo Sato
  • Cheryl M Lewis
  • Narayan Shivapurkar
  • Aixiang Jiang
  • Charles M Perou
  • Young H Kim
  • Jon R Pollack
  • Kwon M Fong
  • Chi-Leung Lam
  • Maria Wong
  • Yu Shyr
  • Rita Nanda
  • Olufunmilayo I Olopade
  • William Gerald
  • David M Euhus
  • Jerry W Shay
  • Adi F Gazdar
  • John D Minna

[edit] Protocols

[edit] References

[edit] Links

GEO Accession for this experiment: GSE6695. (Public on Aug 28 2007)

PubMed abstract: 17194187

RAW data: tar file.

[edit] Analysis

[edit] Samples/Quality Control

Sample Date Scanned Source Link Probe Variance Data Artifact Mask Quality Score
H157 Control group treatment. 03/17/04 12:13:30 GSM154492 Probe variance for  H157 Control group treatment. Artifact mask for  H157 Control group treatment. 93.496
0.22 %
H157 Low dose treatment group (100 nM) 03/17/04 12:44:00 GSM154493 Probe variance for  H157 Low dose treatment group (100 nM) Artifact mask for  H157 Low dose treatment group (100 nM) 96.1327
0.03 %
H157 High dose treatment group 03/17/04 12:25:29 GSM154494 Probe variance for  H157 High dose treatment group Artifact mask for  H157 High dose treatment group 95.2492
0.04 %
H1819 Control group treatment 08/10/04 12:38:28 GSM154495 Probe variance for  H1819 Control group treatment Artifact mask for  H1819 Control group treatment 93.786
0.07 %
H1819 Lose dose treatment group (100 nM) 08/10/04 12:50:41 GSM154496 Probe variance for  H1819 Lose dose treatment group (100 nM) Artifact mask for  H1819 Lose dose treatment group (100 nM) 96.9934
0.18 %
H1819 High dose treatment group (1000 nM) 08/10/04 13:02:50 GSM154497 Probe variance for  H1819 High dose treatment group (1000 nM) Artifact mask for  H1819 High dose treatment group (1000 nM) 97.3893
0.67 %
HBEC2 Control group treatment 01/09/04 14:35:03 GSM154498 Probe variance for  HBEC2 Control group treatment Artifact mask for  HBEC2 Control group treatment 91.3245
41.54 %